Marilyn L. Shaw

812 total citations
14 papers, 712 citations indexed

About

Marilyn L. Shaw is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Marilyn L. Shaw has authored 14 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 3 papers in Social Psychology. Recurrent topics in Marilyn L. Shaw's work include Visual perception and processing mechanisms (6 papers), Multisensory perception and integration (4 papers) and Neural and Behavioral Psychology Studies (4 papers). Marilyn L. Shaw is often cited by papers focused on Visual perception and processing mechanisms (6 papers), Multisensory perception and integration (4 papers) and Neural and Behavioral Psychology Studies (4 papers). Marilyn L. Shaw collaborates with scholars based in United States, Netherlands and Germany. Marilyn L. Shaw's co-authors include Peter Shaw, John L. Santa, J. J. Miller, Judith Rich Harris, Marsha E. Bates, Norma Graham, Dean Yager, John J. Miller and Lawrence D. Stone and has published in prestigious journals such as Psychological Bulletin, Journal of Experimental Psychology Human Perception & Performance and Cognitive Psychology.

In The Last Decade

Marilyn L. Shaw

13 papers receiving 676 citations

Peers

Marilyn L. Shaw
Robert G. Pachella United States
Kevin J. Hawley United States
G. H. Mowbray United States
Jeffrey L. Santee United States
Jeffrey R. W. Mounts United States
Margaret Gregory United Kingdom
Morris K. Holland United States
Ben Bauer Canada
Robert G. Pachella United States
Marilyn L. Shaw
Citations per year, relative to Marilyn L. Shaw Marilyn L. Shaw (= 1×) peers Robert G. Pachella

Countries citing papers authored by Marilyn L. Shaw

Since Specialization
Citations

This map shows the geographic impact of Marilyn L. Shaw's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marilyn L. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marilyn L. Shaw more than expected).

Fields of papers citing papers by Marilyn L. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marilyn L. Shaw. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marilyn L. Shaw. The network helps show where Marilyn L. Shaw may publish in the future.

Co-authorship network of co-authors of Marilyn L. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Marilyn L. Shaw. A scholar is included among the top collaborators of Marilyn L. Shaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marilyn L. Shaw. Marilyn L. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Shaw, Marilyn L.. (1989). Beyond the Porch, Beneath the Lights: Outlets for Self-Expression in the Aging--Theatre for Seniors.. 1 indexed citations
2.
Harris, Judith Rich, et al.. (1985). Serial-position curves for reaction time and accuracy in visual search: Tests of a model of overlapping processing. Perception & Psychophysics. 38(2). 178–187. 7 indexed citations
3.
Yager, Dean, et al.. (1984). Detection and identification of spatial frequency: models and data. Vision Research. 24(9). 1021–1035. 29 indexed citations
4.
Shaw, Marilyn L., et al.. (1983). Two-state versus continuous-state stimulus representations: A test based on attentional constraints. Perception & Psychophysics. 33(4). 338–354. 8 indexed citations
5.
Shaw, Marilyn L., et al.. (1982). Models for bimodai signal detection: A reply to Fideil. Perception & Psychophysics. 31(1). 91–92. 2 indexed citations
6.
Shaw, Marilyn L.. (1982). Attending to multiple sources of information: I. The integration of information in decision making. Cognitive Psychology. 14(3). 353–409. 154 indexed citations
7.
Shaw, Marilyn L., et al.. (1981). Attending to simple auditory and visual signals. Perception & Psychophysics. 30(5). 447–454. 10 indexed citations
8.
Shaw, Marilyn L., et al.. (1980). Multimodal signal detection: Independent decisions vs. integration. Perception & Psychophysics. 28(5). 471–478. 52 indexed citations
9.
Santa, John L., J. J. Miller, & Marilyn L. Shaw. (1979). Using Quasi F to prevent alpha inflation due to stimulus variation.. Psychological Bulletin. 86(1). 37–46. 45 indexed citations
10.
Santa, John L., John J. Miller, & Marilyn L. Shaw. (1979). Using Quasi F to prevent alpha inflation due to stimulus variation.. Psychological Bulletin. 86(1). 37–46. 12 indexed citations
11.
Harris, Judith Rich, Marilyn L. Shaw, & Marsha E. Bates. (1979). Visual search in multicharacter arrays with and without gaps. Perception & Psychophysics. 26(1). 69–84. 23 indexed citations
12.
Shaw, Marilyn L.. (1978). A capacity allocation model for reaction time.. Journal of Experimental Psychology Human Perception & Performance. 4(4). 586–598. 129 indexed citations
13.
Shaw, Marilyn L.. (1977). Reaction time in reading a tachistoscopic display for a memory set item. Perception & Psychophysics. 21(1). 15–25. 7 indexed citations
14.
Shaw, Marilyn L. & Peter Shaw. (1977). Optimal allocation of cognitive resources to spatial locations.. Journal of Experimental Psychology Human Perception & Performance. 3(2). 201–211. 233 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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